Results 1 to 10 of about 5,013 (117)
Anomaly-Based Intrusion Detection System To Detect Advanced Persistent Threats: Environmental Sustainability [PDF]
E3S Web of Conferences, 2023 In an evolving digital world, Advanced Persistent Threats (APTs) pose severe cybersecurity challenges. These extended, stealthy cyber-attacks, often elude conventional Intrusion Detection Systems (IDS). To bridge this gap, our research introduces a novel,
Oughannou Zahra +3 more
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Development of a low-NOx hydrogen burner using high pressure injection nozzles
Mechanical Engineering Journal, 2022 To achieve the global goal of decarbonization, use of hydrogen in place of fossil fuels is expected to increase worldwide. In this study, to establish a hydrogen combustion technology of boilers for a safe, low NOx and low cost, a combustion test of a ...
Yohei TAKASHIMA +5 more
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Data, 2023 We introduce DeReKoGram, a novel frequency dataset containing lemma and part-of-speech (POS) information for 1-, 2-, and 3-grams from the German Reference Corpus.
Sascha Wolfer +3 more
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IDS rainStorm: visualizing IDS alarms [PDF]
IEEE Workshop on Visualization for Computer Security, 2005. (VizSEC 05)., 2005 The massive amount of alarm data generated from intrusion detection systems is cumbersome for network system administrators to analyze. Often, important details are overlooked and it is difficult to get an overall picture of what is occurring in the network by manually traversing textual alarm logs.
Kulsoom Abdullah +4 more
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BMC Medical Informatics and Decision Making, 2023 Purpose Estimating the surgery length has the potential to be utilized as skill assessment, surgical training, or efficient surgical facility utilization especially if it is done in real-time as a remaining surgery duration (RSD).
Bowen Wang +4 more
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A Framework for implementing an ML or DL model to improve Intrusion Detection Systems (IDS) in the NTMA context, with an example on the dataset (CSE-CIC-IDS2018) [PDF]
ITM Web of Conferences, 2022 The objective of this work is to present a framework to be followed to model, test, validate and implement a DL model for anomaly, abuse, malware or botnet detection, with the aim of implementing or improving an Intrusion Detection System (IDS) within ...
Azeroual Hakim +2 more
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Modular and distributed IDE [PDF]
Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, 2020 Integrated Development Environments (IDEs) are indispensable companions to programming languages. They are increasingly turning towards Web-based infrastructure. The rise of a protocol such as the Language Server Protocol (LSP) that standardizes the separation between a language-agnostic IDE, and a language server that provides all language services (e.
Coulon, Fabien +6 more
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Humanities & Social Sciences Communications, 2023 Neologisms, i.e., new words or meanings, are finding their way into everyday language use all the time. In the process, already existing elements of a language are recombined or linguistic material from other languages is borrowed.
Sascha Wolfer, Annette Klosa-Kückelhaus
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Noisy-LSTM: Improving Temporal Awareness for Video Semantic Segmentation
IEEE Access, 2021 Semantic video segmentation is a key challenge for various applications. This paper presents a new model named Noisy-LSTM, which is trainable in an end-to-end manner, with convolutional LSTMs (ConvLSTMs) to leverage the temporal coherence in video frames,
Bowen Wang +5 more
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Languages with more speakers tend to be harder to (machine-)learn
Scientific Reports, 2023 Computational language models (LMs), most notably exemplified by the widespread success of OpenAI's ChatGPT chatbot, show impressive performance on a wide range of linguistic tasks, thus providing cognitive science and linguistics with a computational ...
Alexander Koplenig, Sascha Wolfer
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